What are the most popular programming languages for data science, how can big data be both growing and not growing, and what executives think about current big data initiatives.
- By Lindsay Stares
- January 19, 2017
Three examples of interactive visualizations: drawing a chart before revealing the data, a quiz to test your demographics knowledge, and a game to teach correlation coefficients.
- By Lindsay Stares
- January 18, 2017
Understand the potential of machine learning, how delivery logistics is improving with analytics, and how leaders in the IoT space differ from those falling behind.
- By Lindsay Stares
- January 12, 2017
Upside spoke recently with the founder of an online art marketplace about how analytics are used in his company to improve the customer journey.
- By James E. Powell
- January 12, 2017
Learn why you should design tools for people with low technical skills, how many homes in the U.S. have a computer, and where the fastest Internet is.
- By Lindsay Stares
- January 11, 2017
Three examples highlight the power of machine-learning predictive analytics.
- By Sameer Nori
- January 11, 2017
How to reduce bias in data analytics, avoid issues with security-focused data lake projects, and learn from recent failures in predictive analytics.
- By Quint Turner
- January 9, 2017
In a recent report, consulting firm KPMG tackles a pair of thorny questions. Why don't decision makers place greater trust in data and analytics and how do you build this trust?